Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2003 Dec;38(12):769-75.
doi: 10.1097/01.rli.0000086495.96457.54.

A new algorithm for metal artifact reduction in computed tomography: in vitro and in vivo evaluation after total hip replacement

Andreas H Mahnken  1 , Rainer Raupach, Joachim E Wildberger, Bettina Jung, Nicole Heussen, Thomas G Flohr, Rolf W Günther, Stefan Schaller
Affiliations

A new algorithm for metal artifact reduction in computed tomography: in vitro and in vivo evaluation after total hip replacement

Andreas H Mahnken et al. Invest Radiol. 2003 Dec.

Abstract

Rationale and objectives: To evaluate a newly developed algorithm for metal artifact reduction (MAR) in Computed Tomography (CT).

Methods: A projection interpolation algorithm for MAR with threshold-based metal segmentation was developed. First, the algorithm was tested with a simulated hip phantom. On demand, the presence of metallic inserts was simulated, representing total hip endoprostheses. Second, CT data of 20 patient with total hip endoprosthesis were reconstructed with and without application of the MAR algorithm. Image quality was independently assessed by 2 experienced radiologists using a qualitative score. The results of the in vitro study were evaluated with the Student's t test. Results of the in vivo study were analyzed using a repeated-measure analysis of variance.

Results: Applying the MAR algorithm the phantom study showed no significant difference between images with and without simulated metal contributions. The patient study revealed improved image quality using the MAR algorithm. Results were statistically significant for fat (P=0.0097), vessels (P=0.0091), and bone (P=0.0005). Improvement of the image quality for muscle was not statistically significant (P=0.0287).

Conclusions: A new algorithm for metal artifact reduction was successfully introduced into clinical routine. The algorithm led to a robust reduction of metal artifacts. The MAR algorithm may serve for an improvement in image quality in patients with metallic implants.

PubMed Disclaimer

Publication types